Titlebook: Advances in Distributed Computing and Machine Learning; Proceedings of ICADC Umakanta Nanda,Asis Kumar Tripathy,Kuan-Ching Li Conference pr

冠军

书目名称Advances in Distributed Computing and Machine Learning影响因子(影响力)




书目名称Advances in Distributed Computing and Machine Learning影响因子(影响力)学科排名




书目名称Advances in Distributed Computing and Machine Learning网络公开度




书目名称Advances in Distributed Computing and Machine Learning网络公开度学科排名




书目名称Advances in Distributed Computing and Machine Learning被引频次




书目名称Advances in Distributed Computing and Machine Learning被引频次学科排名




书目名称Advances in Distributed Computing and Machine Learning年度引用




书目名称Advances in Distributed Computing and Machine Learning年度引用学科排名




书目名称Advances in Distributed Computing and Machine Learning读者反馈




书目名称Advances in Distributed Computing and Machine Learning读者反馈学科排名

维持

A Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-colour Space F underscores the profound significance of harnessing the synergistic capabilities of colour space ensembling and quantum–classical stacking to elevate the precision of breast cancer classification. By delving into the distinct colour spaces of RGB, HSV, and CIE . * . * ., the authors initiated a com

招待

Face Recognition Using CNN for Monitoring and Surveillance of Neurological Disorder Patients,re challenges. Early detection and ongoing monitoring of these illnesses are critical for effective treatment and better quality of life. In this paper, a system for monitoring and surveillance of neurological disorder patients using face recognition with a CNN four-layered architecture is proposed.

dry-eye

BLAZE

A Framework for Enabling Artificial Intelligence Inference for the Hardware Acceleration of IVIS Imesses. The Industrial Vision Sensor (IVIS) was developed by C-DAC, Thiruvananthapuram, which must be equipped with the proper artificial intelligence-based approaches in order to serve the next-generation industrial vision applications. In this paper, we present an ideal framework for existing IVIS

EWE

Cloud-Based Anomaly Detection for Broken Rail Track Using LSTM Autoencoders and Cross-modal Audio Abustling world of transportation, our innovative approach harnesses the synergy of cloud-based processing, audio analysis, and Mel-frequency cepstral coefficients (MFCC) extraction to unveil the previously hidden secrets of rail track conditions. The hallmark of our method lies in its dynamic fusion

bourgeois

谷类

Optimized VM Migration for Energy and Cost Reduction Using TSO Algorithm in Cloud Computing,l machines are a multi-objective optimization problem. An effective VM allocation policy will reduce hotspots, improve QoS preservation, and increase energy efficiency. Additionally, it will lower the data centre’s operating expenses. In this paper, optimized VM migration using Tuna Swarm Optimizati

RAFF

DALLY

Evaluation of Weather Forecasting Models and Handling Anomalies in Short-Term Wind Speed Data,r forecasting models are useful for understanding and forecasting wind speed trends and their implications. Predictions vary across regions, and there is a need to evaluate them before performing time-series analysis for wind energy production. In this work, the proposed system evaluates weather for